| GPS动态定位自适应卡尔曼滤波算法研究 |
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| 引用本文： | 李勇军,左娟.GPS动态定位自适应卡尔曼滤波算法研究[J].测绘工程,2012,21(4):29-32. |
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| 作者姓名： | 李勇军 左娟 |
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| 作者单位： | 1. 江西省测绘应急保障服务中心,江西南昌,330046
2. 江西省第一测绘院,江西南昌,330046 |
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| 摘 要： | Sage-Husa滤波和强跟踪滤波是2种常规的自适应卡尔曼滤波,有各自的优缺点。综合2种滤波的特点,给出一种抗粗差的修正算法,实验效果比较好,能有效抑制少部分粗差带来的影响,计算结果表明效果比较理想。
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| 关 键 词： | 动态GPS定位 卡尔曼滤波 自适应滤波 Sage-Husa滤波 强跟踪滤波 |
Research on adaptive Kalman Filtering algorithm in GPS kinematic positioning |
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| LI Yong-jun
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ZUO Juan.Research on adaptive Kalman Filtering algorithm in GPS kinematic positioning[J].Engineering of Surveying and Mapping,2012,21(4):29-32. |
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| Authors: | LI Yong-jun ZUO Juan |
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| Institution: | 1. J iangxi Emergency Guarantee Service Center of Surveying and Mapping,Nanchang 330046, China; 2. J iangxi First Surveying and Mapping Institute, Nanchang 330046,China) |
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| Abstract: | Sage-Husa adaptive filtering and strong tracking adaptive filtering are two general adaptive Kal man filters, but they both have advantages and disadvantages. The paper proposes an approach to anti gross error correction algorithm by combination of the fliers above based on the filter divergence analysis.Experimental results were quite good and can inhibit the small impact of gross errors. |
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| Keywords: | dynamic GPS positioning Kalman filtering adaptive filtering Sage-Husa adaptive filtering strong tracking adaptive filtering |
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